Director of Scalable Data Solutions
3 days ago
We're a leading company in the data engineering space, helping organizations build scalable and agile data science and analytics capabilities. Our mission is to empower businesses to make data-driven decisions.
Job Description
We're seeking a Director of Scalable Data Solutions to join our team. As a Director of Data Engineering, you will be responsible for building the strategy and leading a team of high-performing data engineers to execute a vision that will enable scalable, agile, and impactful data science and analytics across the company.
- Develop a robust, reliable, and 24x7 available internal data platform.
- Lead the team to design and maintain scalable and reliable data architecture.
- Collaborate with BI, Data Science and x-functional stakeholders to align on Data Engineering teams' dependencies, roadmap, priorities, engagement model, and key processes.
- Drive the vision, strategies and roadmap of Data Engineering, and ensure data governance, documentation, lineage, and compliance with industry standards and regulations.
- Mentor and develop a global team of data engineers, data architects, and leaders.
Responsibilities
Key responsibilities include:
- Building a team of data engineers, data architects, and leaders.
- Developing and maintaining a robust and reliable internal data platform.
- Leading the team to design and maintain scalable and reliable data architecture.
- Collaborating with cross-functional teams to ensure data governance, documentation, lineage, and compliance with industry standards and regulations.
Requirements
To succeed in this role, you will need:
- Bachelor or advanced degree in Computer Science, Engineering, or related technical discipline.
- 10+ years of experience in the Data Engineering domain in the industry.
- 5+ years of experience managing a Data Engineering team.
- Hands on experience with GCP, including BigQuery & Airflow.
- Broad experience with other cloud native data solutions, tools, and infrastructure.
- Solid understanding of DevOps practices, including Infrastructure as Code (IAC), containerization (Docker/Kubernetes), and CI/CD pipelines.
- Design, build, and maintain scalable data pipelines using Airflow and other orchestration tools.
- Experience with Kafka in a production environment.
- Working knowledge of programming languages, i.e. SQL, Python, Java/Scala.
- Strong ability to communicate cross-functionally, derive requirements and architect.
What's Next
If you're passionate about data engineering and want to be part of a dynamic team, apply now to become our next Director of Scalable Data Solutions.
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